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About

I build systems that make sense of data nobody wanted to deal with.

Most of my work starts with someone handing me a folder of files and saying 'we don't really know what's in here.' Audio recordings with no transcripts. Research papers that contradict each other. Sensor logs from a lab experiment that ran for six months.

I figure out what's actually there, build something that can learn from it, and get it into production. Not just a notebook that demos well. That last part matters more than people admit.

Lately I've been working a lot with audio and unstructured text. I've trained transformer models on datasets I had to build myself because nothing off-the-shelf existed. I've also written simulation code that needed to match real lab results, which is a very different pressure than matching a benchmark.

I'm not the person who'll sell you on a technique before understanding your problem. I'd rather spend an extra week getting the framing right than move fast and build the wrong thing.

PythonDeep LearningNLPComputer VisionPyTorchTensorFlowTransformersNumPyScientific ComputingPythonDeep LearningNLPComputer VisionPyTorchTensorFlowTransformersNumPyScientific ComputingPythonDeep LearningNLPComputer VisionPyTorchTensorFlowTransformersNumPyScientific Computing

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